Adaptive Network Based Fuzzy Inference System Model For Minimizing Handover Failure in Mobile Networks

Orimogunje, Abidemi and Ajayi, Olumide O. and Fakolujo, Olaosebikan A. and Abolade, Jeremiah O. (2017) Adaptive Network Based Fuzzy Inference System Model For Minimizing Handover Failure in Mobile Networks. International Journal of Innovative Science and Research Technology, 2 (9). pp. 132-343. ISSN 2456 – 2165

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Abstract

For seamless connection between mobile users on the same and different mobile technologies there is need for the deployment of a more complex algorithm for a successful switching of mobile users. Signal to interference ratio, speed of the mobile users and traffic distance are the three input used in the Adaptive network based Fuzzy inference system (ANFIS) which is an hybrid of two techniques of artificial intelligence which make it suitable to handle complexities such as ping-pong effect and interference which impair on the quality of service (QoS) during call handover process as the mobile users move from one coverage area (cell) to another

Item Type:	Article
Uncontrolled Keywords:	Seamless; Mobile; Signal to Interference Ratio; Adaptive Network Based Fuzzy Inference System; Ping-Pong; Cell; Quality of Service; Artificial Intelligence.
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Hannah Akinwumi
Date Deposited:	21 Mar 2018 13:56
Last Modified:	21 Mar 2018 13:56
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/10459

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